DECOVID
- Funded by UK Research and Innovation (UKRI)
- Total publications:0 publications
Grant number: ATI-1
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Key facts
- Disease COVID-19
- Funder UK Research and Innovation (UKRI)
- Principal Investigator . Chris Holmes
- Research Location United Kingdom
- Lead Research Institution Alan Turing Institute
- Research Priority Alignment N/A
- Research Category - Clinical characterisation and management 
- Research Subcategory - Prognostic factors for disease severity 
- Special Interest Tags - Data Management and Data Sharing 
- Study Type - Clinical 
- Clinical Trial Details - Not applicable 
- Broad Policy Alignment - Pending 
- Age Group - Unspecified 
- Vulnerable Population - Unspecified 
- Occupations of Interest - Unspecified 
Abstract
DECOVID aims to address urgent questions that are actionable to frontline clinical and operational staff at a local  (NHS hospital) level to support better care and management in the time scale of the COVID-19 pandemic; from  being reactive to predictive; to inform what best practice could be, and then share this as rapidly as possible  across the NHS and beyond.  Our approach is to establish a unique granular, acute care medical database during the COVID-19 crisis, by  targeting digitally mature hospital trusts (those with electronic health records) and incrementally collecting all  acute care activity across all NHS Trusts to support high quality data capture from the start to the end of the  current pandemic. These data will in turn be linked into existing national datasets, such as from primary care, in  order to allow for greater understanding into the pre-morbid states of patients with the coronavirus, and  therefore the window of intervention.